Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Nordsjaelland
Brondby
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Midtjylland
|
18 | 11 | 2 | 5 | +13 | 35 |
| 2 |
FC Copenhagen
|
17 | 9 | 6 | 2 | +21 | 33 |
| 3 |
Aalborg
|
18 | 9 | 4 | 5 | +9 | 31 |
| 4 |
Brondby
|
17 | 8 | 6 | 3 | +5 | 30 |
| 5 |
Silkeborg
|
18 | 6 | 10 | 2 | +13 | 28 |
| 6 |
Randers FC
|
17 | 8 | 4 | 5 | +4 | 28 |
| 7 |
Aarhus
|
18 | 6 | 6 | 6 | -3 | 24 |
| 8 |
Viborg
|
17 | 4 | 8 | 5 | -1 | 20 |
| 9 |
Odense
|
17 | 4 | 7 | 6 | +1 | 19 |
| 10 |
Nordsjaelland
|
17 | 4 | 4 | 9 | -11 | 16 |
| 11 |
Sonderjyske
|
18 | 2 | 4 | 12 | -23 | 10 |
| 12 |
Vejle
|
18 | 2 | 3 | 13 | -28 | 9 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Green columns are the outcomes that came in.
Odense
Nordsjaelland
Nordsjaelland
Silkeborg
Viborg
Nordsjaelland
Nordsjaelland
Aalborg
Vejle
Nordsjaelland
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.